Recorded at SpringOne Platform 2016. Speaker: Nivesh Gopathi, Gap Tech Slides: http://www.slideshare.net/SpringCentral/secure-dynamic-app-config-at-gaptech

As organizations move to audit trails over managed processes, continuous delivery with aggressive MTTR, security first doctrines and ephemeral instances, a key enabler is a platform ability for dynamic application configuration and securely bootstrapping application secrets. In this session, we will go over what the use cases for dynamic configuration and application secrets management are with some high level requirements, how we are…

Recorded at SpringOne Platform 2016. Speakers: Michael Minella,Glenn Renfro Slides: http://www.slideshare.net/SpringCentral/task-madness-modern-on-demand-processing

The flexibility promised by cloud computing is something that hasn't been fully available in many use cases yet. Most application models are still based on long running containers, robbing users of that very flexibility. Spring Cloud Task, a new project in the Spring portfolio provides both functional and non-functional capabilities for building short lived, cloud-native, microservices. This talk will introduce the project as…

Recorded at SpringOne Platform 2016. Speaker: Rajini Sivaram Slides: http://www.slideshare.net/SpringCentral/reactive-kafka

Apache Kafka is a distributed, scalable, high-throughput messaging bus. Over the last few years, Kafka has emerged as a key building block for data-intensive distributed applications. As a high performance message bus, Kafka enables the development of distributed applications using the microservices architecture.

Reactive Streams simplifies the development of asynchronous systems using non-blocking back pressure. The reactive framework enables the development of…

Recorded at SpringOne Platform 2016. Speakers: Katie Mooney; Director, Marketing Operations, zData; Cahlen Humphreys; Big Data Solutions Architect, zData & Dillon Woods; Chief Technology Officer, zData Slides: http://www.slideshare.net/SpringCentral/lessons-learned-migrating-from-spring-xd-to-spring-data-cloud-flow-katie-mooney-dillon-woods-cahlen-humphreys

The goal of this session is to teach companies how they can use real-time data to make predictions with Spring Cloud Data Flow, Spark 2.0 and Spark ML. It will cover how to train your model using Spark ML in Spark 2.0. Once trained we…

Spring Boot and Pivotal Cloud Foundry users won’t want to miss Spring team’s Madhura Bhave and Pieter Humphrey as they tour through the Spring Boot 1.5 release.

Inspired in part by cool community open source work from codecentric.de, one of the hottest new directions that the two teams are working on is the integration of Spring Boot Actuators with Pivotal Cloud Foundry.

Attendees will be given direct linkage to product management - this is your chance to influence future integration direction! You’ll also walk away understanding all the highlights of the Spring Boot 1.5 release, including…

Speaker: Josh Long

Hi Spring fans! In this tip, we'll look at the Spring Data Couchbase support in Spring Boot 1.4.

In preparation of the upcoming Spring Boot 1.4.4 release, I am pleased to announce the availability of the seventh service release of Spring Data release train Hopper. The release ships 39 tickets fixed and is a recommended upgrade for all users.

• Spring Data Commons 1.12.7 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data JPA 1.10.7 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data KeyValue 1.1.7 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data for Apache Cassandra 1.4.7 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data for Apache Solr 2.0.7 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Gemfire 1.8.7 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Neo4j 4.1.7 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data MongoDB 1.9.7 - Artifacts - JavaDocs - Documentation - …

On behalf of the Spring Data team I'd like to announce the general availability of our Ingalls release train. After nine months of development, this release not only contains a huge set of new features, improvements and bug fixes, it also marks the conclusion of a branch of Spring Data that has helped developers dealing with persistence for more than 5 years --- even 8, if you count in some module's predecessors.

The release ships more than 630 tickets fixed in total. Here's a very truncated list of the most important features shipping with the release:

• Upgrade to Spring 4.3 as Spring Framework baseline.
• Add Spring Data LDAP (the Spring Data related bits of Spring LDAP) to the release train.
• Elevate Spring Data for Apache Cassandra to a Core module, give it a complete overhaul and upgrade it to Cassandra 3. User defined types, support for Java 8 Stream and Optional etc.
• Performance improvements in object-to-store mapping by avoiding reflection in favor of ASM generated code using method handles.
• More aggregation framework for MongoDB.
• Improved stream execution verification in JPA (reports a missing surrounding transaction).
• …

I am pleased to announce that Spring Boot 1.4.4 has been released and is available now from repo.spring.io and Maven Central.

Spring Boot 1.4.4 includes over 60 fixes, improvements and 3rd party dependency updates! Thanks to all that have contributed!

If you're interested in helping out, check out the "ideal for contribution" tag in the issue repository. If you have general questions, please ask at stackoverflow.com using the spring-boot tag.

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